Khattar Pankaj (24 results)

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Condition: New. 2020. 1st ed. paperback. . . . . .

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Paperback. Condition: Brand New. 222 pages. 9.75x7.00x0.75 inches. In Stock.

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Condition: New. 2020. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

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Condition: New. pp. XVII, 222 134 illus. 1st ed. edition NO-PA16APR2015-KAP.

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Condition: New. pp. XVII, 222 134 illus.

Taschenbuch. Condition: Neu. Azure DocumentDB in Practice | Understanding Designing, Deployment, Optimization & Enterprise Scaling | Pankaj Khattar | Taschenbuch | xxii | Englisch | 2026 | APRESS L.P. | EAN 9798868827549 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Azure DocumentDB in Practice is your complete guide to understanding and leveraging Microsoft s unified document database platform, combining the power of Cosmos DB vCore with DocumentDB OSS capabilities. This book walks you through the full architecture of Azure DocumentDB, from its global foundations and MongoDB API compatibility to the vCore execution model that simplifies scaling, performance planning, and cost predictability.Moving beyond fundamentals, you ll dive deep into performance engineering, data modeling, application development, and workload optimization tailored to Azure DocumentDB s architecture. You will then learn to benchmark and test workloads, build resilient applications using MongoDB drivers, and implement scalable, high-availability designs. Dedicated chapters on migration strategies help you transition workloads from self-hosted MongoDB, Cosmos DB RU-based models, or other databases with minimal friction. Real-world patterns, industry use cases, and reference architectures give you the blueprints needed to solve complex problems at scale. You ll learn how compute, storage, and networking layers work together, how to secure and govern your data with enterprise-grade identity and compliance features, and how to provision, size, and manage clusters for production workloads. With clear explanations, hands-on guidance, and practical best practices, this book equips you to confidently operate Azure DocumentDB in cloud-native, highly distributed environments.Whether you re a developer, architect, or database engineer, Azure DocumentDB in Practice provides the technical depth and practical guidance required to design, build, and operate next-generation document database solutions and understand where the platform is headed next.What You Will Learn:Designing and deploying production grade clusters with the right sizing, networking, and securityHow to model data effectively using optimal schema, sharding, and indexing strategiesDiagnose and optimize performance using profiler, query plans, metrics, and best practicesBuild resilient applications using transactions, connection pooling, retry logic and Change streamsHow to run and operate clusters with backup/restore, monitoring, parametersWho This Book Is For:This book is meant for developers, architects, and database engineers. 248 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Get a 360-degree view of how the journey of data analytics solutions has evolved from monolithic data stores and enterprise data warehouses to data lakes and modern data warehouses. You willThis book includes comprehensive coverage of how:To architect data lake analytics solutions by choosing suitable technologies available on Microsoft AzureThe advent of microservices applications covering ecommerce or modern solutions built on IoT and how real-time streaming data has completely disrupted this ecosystemThese data analytics solutions have been transformed from solely understanding the trends from historical data to building predictions by infusing machine learning technologies into the solutions Data platform professionals who have been working on relational data stores, non-relational data stores, and big data technologies will find the content in this book useful. The book also can help you start your journey into the data engineer world as it provides an overview of advanced data analytics and touches on data science concepts and various artificial intelligence and machine learning technologies available on Microsoft Azure.What Will You Learn You will understand the:Concepts of data lake analytics, the modern data warehouse, and advanced data analyticsArchitecture patterns of the modern data warehouse and advanced data analytics solutionsPhases-such as Data Ingestion, Store, Prep and Train, and Model and Serve-of data analytics solutions and technology choices available on Azure under each phaseIn-depth coverage of real-time and batch mode data analytics solutions architectureVarious managed services available on Azure such as Synapse analytics, event hubs, Stream analytics, CosmosDB, and managed Hadoop services such as Databricks and HDInsight Who This Book Is For Data platform professionals, database architects, engineers, and solution architects 240 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginning-Intermediate user level|Covers the life cycle of data, from building pipelines to data analytics and visualizationsProvides use cases for real-time and batch mode processingShows you how to infuse .…

Condition: New. PRINT ON DEMAND pp. XVII, 222 134 illus.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Azure DocumentDB in Practice is your complete guide to understanding and leveraging Microsoft s unified document database platform, combining the power of Cosmos DB vCore with DocumentDB OSS capabilities. This book walks you through the full architecture of Azure DocumentDB, from its global foundations and MongoDB API compatibility to the vCore execution model that simplifies scaling, performance planning, and cost predictability.Moving beyond fundamentals, you ll dive deep into performance engineering, data modeling, application development, and workload optimization tailored to Azure DocumentDB s architecture. You will then learn to benchmark and test workloads, build resilient applications using MongoDB drivers, and implement scalable, high-availability designs. Dedicated chapters on migration strategies help you transition workloads from self-hosted MongoDB, Cosmos DB RU-based models, or other databases with minimal friction. Real-world patterns, industry use cases, and reference architectures give you the blueprints needed to solve complex problems at scale. You ll learn how compute, storage, and networking layers work together, how to secure and govern your data with enterprise-grade identity and compliance features, and how to provision, size, and manage clusters for production workloads. With clear explanations, hands-on guidance, and practical best practices, this book equips you to confidently operate Azure DocumentDB in cloud-native, highly distributed environments.Whether you re a developer, architect, or database engineer, Azure DocumentDB in Practice provides the technical depth and practical guidance required to design, build, and operate next-generation document database solutions and understand where the platform is headed next.What You Will Learn:Designing and deploying production grade clusters with the right sizing, networking, and securityHow to model data effectively using optimal schema, sharding, and indexing strategiesDiagnose and optimize performance using profiler, query plans, metrics, and best practicesBuild resilient applications using transactions, connection pooling, retry logic and Change streamsHow to run and operate clusters with backup/restore, monitoring, parametersWho This Book Is For:This book is meant for developers, architects, and database engineers. …